Two key trends in the data universe are, without a doubt, Data Discovery and Analytics. Traditionally, they have been two of the favorite areas for analysts, but today, the entire industry as a whole is focused on the concept that unites them, Self-Service Business Intelligence (BI), with the aim of being able to transfer critical and analytical information from the data to a much wider audience.
The adoption of a data governance solution becomes essential for the definition of the policies, procedures and standards necessary to guarantee consistency in data ownership, access, quality conditions, lineage, metadata, definitions, development and execution processes.
Strategic decisions based on data analysis and interpretation. Companies must adapt and give way to Data Culture. They cannot be competitive using only traditional technological resources. Solutions that facilitate change and the flexibility required to achieve optimal and effective data management guarantee success.
Managing high volumes of data, both in real time and organized, is one of the challenges for Data-Driven companies.
Browse freely between both worlds discovering Insights that will allow you to establish measurable indicators correctly processed and organized for your business's needs.
Ensure and certify the quality of both your master data and its associated KPIs through a governed data hub. Empower business users to actively participate throughout the data life cycle.
Guarantee the quality of the information to ensure correct decision-making, as well as the optimization of your processes.
Make the data available to the business. The objective of Self-Service is to provide users with Business Intelligence (BI) tools, more freedom and responsibility at the same time. Self-Service leads to the decentralization of BI in the organization, which results in the need to govern its data.